| On the (In) fidelity and Sensitivity of Explanations CK Yeh, CY Hsieh, A Suggala, DI Inouye, PK Ravikumar Advances in Neural Information Processing Systems, 10965-10976, 2019 | 526 | 2019 |
| Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ... arXiv preprint arXiv:2305.02301, 2023 | 467 | 2023 |
| Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality CY Hsieh, J Zhang, Z Ma, A Kembhavi, R Krishna Advances in neural information processing systems 36, 31096-31116, 2023 | 117 | 2023 |
| Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, SY Gadre, H Bansal, E Guha, ... Advances in Neural Information Processing Systems 37, 14200-14282, 2024 | 96* | 2024 |
| A survey on programmatic weak supervision J Zhang, CY Hsieh, Y Yu, C Zhang, A Ratner arXiv preprint arXiv:2202.05433, 2022 | 89 | 2022 |
| Tool documentation enables zero-shot tool-usage with large language models CY Hsieh, SA Chen, CL Li, Y Fujii, A Ratner, CY Lee, R Krishna, T Pfister arXiv preprint arXiv:2308.00675, 2023 | 68 | 2023 |
| Evaluations and Methods for Explanation through Robustness Analysis CY Hsieh, CK Yeh, X Liu, P Ravikumar, S Kim, S Kumar, CJ Hsieh International Conference on Learning Representations, 2021 | 67 | 2021 |
| Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, G Li, A Jaiswal, ... arXiv preprint arXiv:2310.05175, 2023 | 61 | 2023 |
| Automatic bridge bidding using deep reinforcement learning CK Yeh, CY Hsieh, HT Lin IEEE Transactions on Games 10 (4), 365-377, 2018 | 60 | 2018 |
| How sensitive are sensitivity-based explanations CK Yeh, CY Hsieh, AS Suggala, D Inouye, P Ravikumar arXiv preprint arXiv:1901.09392, 52, 2019 | 25 | 2019 |
| Lookback lens: Detecting and mitigating contextual hallucinations in large language models using only attention maps YS Chuang, L Qiu, CY Hsieh, R Krishna, Y Kim, J Glass arXiv preprint arXiv:2407.07071, 2024 | 23 | 2024 |
| A deep model with local surrogate loss for general cost-sensitive multi-label learning CY Hsieh, YA Lin, HT Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 17 | 2018 |
| Found in the middle: Calibrating positional attention bias improves long context utilization CY Hsieh, YS Chuang, CL Li, Z Wang, LT Le, A Kumar, J Glass, A Ratner, ... arXiv preprint arXiv:2406.16008, 2024 | 16 | 2024 |
| Nemo: Guiding and contextualizing weak supervision for interactive data programming CY Hsieh, J Zhang, A Ratner Proceedings of the VLDB Endowment 15 (13), 4093 - 4105, 2022 | 16 | 2022 |
| Understanding Programmatic Weak Supervision via Source-aware Influence Function J Zhang, H Wang, CY Hsieh, A Ratner Advances in Neural Information Processing Systems, 2022 | 13 | 2022 |
| NVILA: Efficient frontier visual language models Z Liu, L Zhu, B Shi, Z Zhang, Y Lou, S Yang, H Xi, S Cao, Y Gu, D Li, X Li, ... arXiv preprint arXiv:2412.04468, 2024 | 10 | 2024 |
| A pseudo-label method for coarse-to-fine multi-label learning with limited supervision CY Hsieh, M Xu, G Niu, HT Lin, M Sugiyama Learning from Limited Labeled Data Workshop @ ICLR '19, 2019 | 9 | 2019 |
| Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning A Bandari, L Yin, CY Hsieh, AK Jaiswal, T Chen, L Shen, R Krishna, S Liu arXiv preprint arXiv:2410.07461, 2024 | 4 | 2024 |
| The unmet promise of synthetic training images: Using retrieved real images performs better S Geng, CY Hsieh, V Ramanujan, M Wallingford, CL Li, PWW Koh, ... Advances in Neural Information Processing Systems 37, 7902-7929, 2024 | 3 | 2024 |
| The hard positive truth about vision-language compositionality A Kamath, CY Hsieh, KW Chang, R Krishna European Conference on Computer Vision, 37-54, 2024 | 3 | 2024 |
Ranjay KrishnaAssistant Professor, University of WashingtonVerified email at cs.washington.edu
